Sr. Data Engineer

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Data Engineer Location : San Francisco, CA | Hybrid We're looking for a talented Sr. Data Engineer to join our new Data Platform product team. In this role, you will work closely with our Product, Engineering, Cloud, and Service teams to build best in class infrastructure supporting data across the Eclipse and the Data Platform. This is a strategic, high-impact role that will also help shape the future of SS&C Eze products and services. Why You Will Love It Here! Flexibility : Hybrid Work Model and Business Casual Dress Code, including jeans Your Future: 401k Matching Program, Professional Development Reimbursement Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees Training: Hands-On, Team-Customized, including SS&C University Extra Perks: Discounts on fitness clubs, travel and more! What You Will Get To Do: Design and ship LLM-powered product features end to end, including retrieval-augmented generation and multi-step agent workflows Build the evaluation harness before the feature - define what "good" means, measure it offline and in production, and catch regressions before clients do Own prompt and context engineering as an engineering discipline: versioned, tested, and iterated against data rather than intuition Build and tune retrieval infrastructure - chunking, embeddings, vector search, hybrid filtering - over structured and unstructured client data Make it production-grade: latency budgets, cost per request, caching, fallbacks, and guardrails for unsafe or low-confidence output Design, build, and own the core data models and key infrastructure to manage data and usage across the Eclipse Platform and Data Marketplace Design and implement a data quality monitoring system. The system should include source-to-target data validations as well as anomaly detection Collaborate closely with Engineering, Product Management, & IT, to inform product decision making with data and to identify opportunities for system improvements. Including recommendations and innovation for Information architecture and insights that are valuable to our customers Collaborate with the Engineering, IT, and Security team(s) to meet data governance requirements Build dashboards to help Leadership monitor performance, availability, and user behavior of the platform Answer questions from the leadership team for reporting, publications, and industry reports Think creatively to find optimal solutions to our complex, often unstructured problems What You Will Bring: Demonstrated experience shipping an LLM-backed feature to real users, and a clear account of how you measured its quality Working knowledge of retrieval: embeddings, vector stores, and why naive RAG usually underperforms Data Expertise : Proficient in data modeling, analysis, and relational database design. Financial setting experience is preferred. Large Datasets : Skilled in processing and extracting value from large, disconnected datasets. Data Pipelines : Experienced in designing and optimizing data pipelines and architectures. Python Proficiency : Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow, matplotlib, etc.). Machine Learning : Proficient in Machine Learning, NLP, or deep learning using Python. PySpark : Experienced in working with PySpark. ETL/ELT : Experienced in ELT/ETL development and handling unstructured datasets. Data Warehousing : Knowledgeable in data warehousing and multidimensional data models. Rapid Prototyping : Experienced in rapid prototyping and fast solution delivery processes. Analytics : Skilled in working with large datasets to generate complex analytics for actionable insights. Collaboration : Effective in collaborating across disciplines, departments, and segments. Documentation : Experienced in developing and maintaining ETL-related artifacts such as schemas, data dictionaries, and transforms. Desirable Skills: ETL/ELT Development : Proficient in ELT/ETL development. Machine Learning : Experienced in Machine Learning, NLP, or deep learning using Python. Unstructured Data : Skilled in handling unstructured datasets. Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website:

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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity. Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location. California: The expected base salary for the position is between 120000 USD to 160000 USD. In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company's discretion. Applications will be accepted on an ongoing basis until the position is filled. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws. SS&C Technologies